In this paper, we provide a general classification of mathematical optimization problems, followed by a matrix of applications that shows the areas in which these problems have been typically applied in process systems engineering. We then provide a review of solution methods of the major types of optimization problems for continuous and discrete variable optimization, particularly nonlinear and mixed-integer nonlinear programming (MINLP). We also review their extensions to dynamic optimization and optimization under uncertainty. While these areas ar
Abstract: "This paper presents an overview on two recent developments in optimization techniques tha...
Recent results on non-convex multi-objective optimization problems and methods are presented in this...
roper organization, planning and design of production, storage locations, transportation and schedul...
Optimization as an enabling technology has been one of the big success stories in process systems en...
Abstract: "As process optimization becomes an established and mature technology for process simulati...
With the increasing reliance on modeling optimization problems in practical applications, a number o...
Mathematical optimization encompasses both a rich and rapidly evolving body of fundamental theory, a...
Abstract. Many optimization problems involve integer and continuous variables that can be modeled as...
Optimization Methods and Software publishes refereed papers on the latest developments in the theory...
International audienceReal world engineering optimization problems often involve discrete variables ...
Computational optimization is an active and important area of study, practice, and research today. I...
The goal of this research was to develop new algorithmic techniques for solving large-scale numerica...
The problem of optimizing a nonlinear function of one or more variables in the sense of locating the...
This book provides a comprehensive introduction to nonlinear programming, featuring a broad range of...
Abstract—This paper gives a survey of the principles and the state-of-the-art of engineering optimiz...
Abstract: "This paper presents an overview on two recent developments in optimization techniques tha...
Recent results on non-convex multi-objective optimization problems and methods are presented in this...
roper organization, planning and design of production, storage locations, transportation and schedul...
Optimization as an enabling technology has been one of the big success stories in process systems en...
Abstract: "As process optimization becomes an established and mature technology for process simulati...
With the increasing reliance on modeling optimization problems in practical applications, a number o...
Mathematical optimization encompasses both a rich and rapidly evolving body of fundamental theory, a...
Abstract. Many optimization problems involve integer and continuous variables that can be modeled as...
Optimization Methods and Software publishes refereed papers on the latest developments in the theory...
International audienceReal world engineering optimization problems often involve discrete variables ...
Computational optimization is an active and important area of study, practice, and research today. I...
The goal of this research was to develop new algorithmic techniques for solving large-scale numerica...
The problem of optimizing a nonlinear function of one or more variables in the sense of locating the...
This book provides a comprehensive introduction to nonlinear programming, featuring a broad range of...
Abstract—This paper gives a survey of the principles and the state-of-the-art of engineering optimiz...
Abstract: "This paper presents an overview on two recent developments in optimization techniques tha...
Recent results on non-convex multi-objective optimization problems and methods are presented in this...
roper organization, planning and design of production, storage locations, transportation and schedul...